Constarium
← Search

Data · dataset · 2026

Microscopic Image Dataset for CAT6 Cable Outer-Sheath Surface Condition Classification

Listed in Teesside University Research Data Repository

This dataset contains 2,400 original microscopic images acquired from the outer sheath of an approximately 10-m-long CAT6 Ethernet cable under controlled laboratory conditions.

Description

The cable had been in use for an extended period and exhibited different surface conditions along its length. Images were captured using a USB digital microscope with a 1920 × 1080 pixel image sensor under consistent illumination, working distance, and viewing conditions.

The dataset is organized into three balanced surface-condition classes: Intact, Bending_Damage, and Severe_Damage, with 800 images in each class. Intact images show no visible surface damage; Bending_Damage images exhibit localized texture distortion or surface waviness without visible material rupture; and Severe_Damage images contain visible cracks, material rupture, or deep surface discontinuities. All 2,400 images are original microscope acquisitions.

Read the rest (4 more)

No images were generated through data augmentation, extracted from video frames, or produced by cropping larger source images. The images were acquired across multiple physical regions of the same cable; however, physical region identifiers were not recorded during acquisition. The dataset is intended as a task-specific resource for supervised microscopic classification of CAT6 cable outer-sheath surface conditions and for comparative evaluation of image-classification methods under controlled acquisition conditions.

Because the dataset originates from a single cable specimen, it should not be interpreted as representing cross-cable or real-world generalization. Future extensions may incorporate multiple cable specimens, materials, manufacturers, acquisition conditions, and region-level metadata. The original 2,400 images are provided in the Raw_Dataset.zip archive, organized into three class-specific folders: Intact, Bending_Damage, and Severe_Damage.

Citation

If you use this dataset in your research, please cite the associated research article. The full citation and DOI of the article will be added to this dataset record upon publication.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Image 75% · Video 75%
Provenance · 1 source records, 17 field assertions
SourceKeyLast seenRaw
Teesside University Research Data Repositoryoai:data.mendeley.com/zs55dv63kv.16 d agoJSON v1
FieldAssertionExtractorEvidence
access_levelsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].anzsrc:field:460304mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Computer Vision']
concepts[field].anzsrc:field:460306mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Image Processing']
concepts[field].anzsrc:field:461103mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Deep Learning']
concepts[field].anzsrc:group:4602mapping · researchdata tees ac ukvocabulary-mapper@1.0.0keywords['Artificial Intelligence']
concepts[field].local:field:computer-science-aimapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:earth-environmentalmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:engineeringmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:humanitiesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:life-sciencesmapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[field].local:field:social-sciencemapping · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
concepts[modality].local:modality:imageenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
concepts[modality].local:modality:videoenrichment · researchdata tees ac ukkeyword-concept-rules@1.0.0title+description (75%)
descriptionsource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/description
licensesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/rights
publication_datesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0
titlesource · researchdata tees ac ukconnector:researchdata_tees_ac_uk@1.0.0/metadata/dc/title